Matheus de Freitas Oliveira Baffa

According to our database, Matheus de Freitas Oliveira Baffa authored at least 12 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

U-Net Convolutional Neural Networks for breast IR imaging segmentation on frontal and lateral view.

Elisson Carlos de Carvalho, Alessandra Martins Coelho, Aura Conci, Matheus de Freitas Oliveira Baffa

Comput. methods Biomech. Biomed. Eng. Imaging Vis., May, 2023

Focal cortical dysplasia classification for refractory epilepsy detection using artificial neural network.

Matheus de Freitas Oliveira Baffa, João Guilherme Pereira, Fabrício Henrique Simozo, Luiz Otávio Murta Júnior, Joaquim Cezar Felipe

Comput. methods Biomech. Biomed. Eng. Imaging Vis., May, 2023

Histopathological diagnosis of colon cancer using micro-FTIR hyperspectral imaging and deep learning.

Frederico Barbosa Muniz, Matheus de Freitas Oliveira Baffa, Sergio Britto Garcia, Luciano Bachmann, Joaquim Cezar Felipe

Comput. Methods Programs Biomed., April, 2023

Breast Cancer Detection in Histological Images Using Radiomic Features and Fully Connected Neural Networks.

Octavio Xavier Furio, Carlos Eduardo Rodrigues Dos Santos, Arthur Melo De Oliveira, Matheus de Freitas Oliveira Baffa, Joaquim Cezar Felipe

Proceedings of the 17th International Conference on Signal-Image Technology & Internet-Based Systems, 2023

Radiomic Features for Diabetic Retinopathy Early Detection Using Deep Neural Networks.

Matheus de Freitas Oliveira Baffa, Joaquim Cezar Felipe, João Victor Gomes Martins, Alessandra Marins Coelho

Proceedings of the 17th International Conference on Signal-Image Technology & Internet-Based Systems, 2023

3D Convolutional Neural Networks for Dynamic Breast Infrared Imaging Classification.

Matheus de Freitas Oliveira Baffa, Lucas Grassano Lattari, Aura Conci

Proceedings of the Artificial Intelligence Over Infrared Images for Medical Applications (AIIIMA 2023), 2023

Advancing Thyroid Pathologies Detection with Recurrent Neural Networks and Micro-FTIR Hyperspectral Imaging.

Matheus de Freitas Oliveira Baffa, Luciano Bachmann, Denise Maria Zezell, Thiago Martini Pereira, Thomas Martin Deserno, Joaquim Cezar Felipe

Proceedings of the 36th IEEE International Symposium on Computer-Based Medical Systems, 2023

2022

COVID-19 and Viral Pneumonia Classification Using Radiomic Features and Deep Learning.

Matheus de Freitas Oliveira Baffa, Fernando Lucas Lima Martins, Alessandra Martins Coelho, Joaquim Cezar Felipe

Proceedings of the 16th International Conference on Signal-Image Technology & Internet-Based Systems, 2022

Radiomics for Breast IR-Imaging Classification.

Matheus de Freitas Oliveira Baffa, Aura Conci

Proceedings of the Artificial Intelligence over Infrared Images for Medical Applications and Medical Image Assisted Biomarker Discovery, 2022

2021

Hyperspectral Signal Analysis for Thyroid Neoplasm Typification On Infrared Spectrum.

Matheus de Freitas Oliveira Baffa, Luciano Bachmann, Thiago Martini Pereira, Joaquim Cezar Felipe

Proceedings of the 34th IEEE International Symposium on Computer-Based Medical Systems, 2021

Brain Tumor Classification on Multi-Modality MRI Using Radiomic Features.

Davidson Lucas De Souza, Alessandra Martins Coelho, Joaquim Cezar Felipe, Matheus de Freitas Oliveira Baffa

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2018

Convolutional Neural Networks for Static and Dynamic Breast Infrared Imaging Classification.

Matheus de Freitas Oliveira Baffa, Lucas Grassano Lattari

Proceedings of the 31st SIBGRAPI Conference on Graphics, Patterns and Images, 2018